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ICASSP
2011
IEEE
14 years 11 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
HRI
2006
ACM
16 years 1 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
EC
2006
121views ECommerce» more  EC 2006»
15 years 7 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
CVPR
2009
IEEE
17 years 17 days ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
AIED
2009
Springer
16 years 1 months ago
Toward Adaptive Presentations of Student Models in eLearning Environments
In this paper we report our work on introducing adaptations of the learner model’s presentation in adaptive educational systems, in order to bring a healthy balance between the u...
Luca Mazzola, Riccardo Mazza